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[CVPR 2026] SAG-GNN: Semantic-Aware Guided GNN for Descriptor-Free 2D-3D Matching TL;DR: SeeU learns the continuous 4D dynamics from 2D inputs, and generates novel content at unseen time and space. project ... Rameen Abdal, James Burgess, Sergey Tulyakov, Kuan-Chieh Wang Snap Research , Stanford University ... [CVPR 2026] Hear What You See: Video-to-Audio Generation with Diffusion Transformer and STAR-DPO Abstract: False negatives pose a critical challenge in [CVPR 2026] LLaVAShield: Safeguarding Multimodal Multi-Turn Dialogues in Vision-Language Models
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[CVPR 2026] Hear What You See: Video-to-Audio Generation with Diffusion Transformer and STAR-DPO
[CVPR 2026] VAD-GS
[CVPR 2026] OccuFly: A 3D Vision Benchmark for Semantic Scene Completion from the Aerial Perspective
[CVPR 2026] False-Negative Aware Learning of Contrastive Negatives in Vision-Language Alignment